Principal Quantitative Analyst Pay Equity - People Strategy Analytics

At Capital One data is at the center of everything we do. As a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database cutting edge technology in 1988! Fastforward a few years and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of datadriven decisionmaking.

As a Quantitative Analyst at Capital One youll be part of a team thats leading the next wave of disruption at a whole new scale using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people time and agony in their financial lives.

People Strategy & Analytics is an emerging field where Capital One is on the leading front. Our team brings data analytics and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy automating realtime data and improving talent decisionmaking. The team is composed of people with diverse skills and backgrounds including: data analysts and engineers product managers data scientists consultants and strategists business analysts HR specialists economists and Industrial Organizational Psychologists.

Responsibilities and Skills:

• Partner with crossfunctional teams from Legal and Human Resources to assess Capital Ones compensation system

• Utilize Python SQL and Quicksight to build modular scalable statistical models and reporting infrastructure and dashboards that will provide key insights about pay equity & fairness

• Provide insights that drive decisions and help shape policy impacting 50000 associates

• Flex your interpersonal skills to translate the complexity of statistical model results into tangible insights and actionable recommendations

• Apply root cause analysis such as causal inference to answer why an observed phenomenon happens and suggest actions that could effectively address concerns.

Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect excellence and innovation.

Successful candidates would possess:

• Strong understanding of quantitative analysis methods in relation to financial institutions

• Demonstrated trackrecord in machine learning and econometric analysis

• Experience utilizing model estimation tools

• Ability to clearly communicate modeling results to a wide range of audiences

• Drive to develop and maintain high quality and transparent model documentation

• Strong written and verbal communication skills

• Strong presentation skills

• Ability to fully own the model development process: from conceptualization through data exploration model selection validation deployment business user training and monitoring

• Proficiency in key econometric and statistical techniques (such as predictive modeling logistic regression survival analysis panel data models design of experiments decision trees machine learning methods.

Basic Qualifications:

• Currently has or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelors Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field) plus 5 years of experience performing data analytics

  • A Masters Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics

  • A PhD in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field)

Preferred Qualifications:

• Masters Degree or PhD in Statistics Economics Mathematics Operations Research Engineering Physics or related discipline

• At least 3 years of experience in statistical techniques such as regression root cause analysis causal inference classification and clustering

• At least 3 years of experience with developing and implementing models using modern scripting languages (Python R or other statistical languages)

• At least 3 years of experience working with largescale cloudbased coding environments and databases (Python SQL or other data manipulation languages)

• At least 1 year of experience in consulting

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum fulltime annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for parttime roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.

Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total wellbeing. Learn more at theCapital One Careers website. Eligibility varies based on full or parttime status exempt or nonexempt status and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting ator via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital Ones recruiting process please send an email to

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).